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Enregistrement W2801111092 · doi:10.1186/s40900-018-0094-2

Advancing patient engagement: youth and family participation in health research communities of practice

2018· article· en· W2801111092 sur OpenAlexafffund
Roberta L. Woodgate, Melanie Zurba, Pauline Tennent

Notice bibliographique

RevueResearch Involvement and Engagement · 2018
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMental Health and Patient Involvement
Établissements canadiensUniversity of Manitoba
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésPublic relationsPsychological interventionHealth carePsychologyMedical educationSociologyNursingMedicinePolitical science

Résumé

récupéré en direct d'OpenAlex

The involvement of patients in health research has resulted in the development of more effective interventions and policies in healthcare that respond to the needs of healthcare users. This article examines how working with youth and their families as co-researchers in health research communities of practice (CoPs), rather than just as participants, can benefit all involved. Health research (CoPs) promote an environment in which co-researchers have the opportunity to do more than just participate in the data collection phase of the research process. As co-researchers, youth and their families are able to participate, learn, and contribute to knowledge and building relationships that are designed to innovate and improve healthcare systems. However, in order to ensure engagement of youth and their families in health research that they find meaningful and rewarding, three factors have been identified as important parts of the process: promoting identity, building capacity, and encouraging leadership skills. Background Patient engagement in health research is becoming more popular as it can lead to evidence for developing the most effective interventions, policy and practice recommendations. Models of patient engagement have been evolving over the past four decades including health research communities of practice (CoPs). Health research CoPs help to break down professional barriers and enhance knowledge sharing for the purpose of improving health outcomes. In this article we consider health research CoPs when youth and their families are involved. Main body As part of an ongoing research program, we identify how insights about youth and their families’ views are taken into account as well as their specific roles in health research CoPs. We have worked with youth and their families not only as participants in health research, but instead as co-researchers in health research CoPs. As co-researchers, youth and their families are able to participate, learn, and contribute to knowledge and building relationships that are designed to innovate and improve healthcare systems. Promoting and creating the space for identity, capacity building, and leadership is integral to the engagement of youth and their families in health research in a way that they consider meaningful and rewarding. Conclusions Youth and families can play stronger and more meaningful roles in health research by adopting a CoPs approach. Further examination of the internal structures and connections between youth and families as well other actors (i.e., with service providers and special knowledge holders) within emerging health research CoPs would be advantageous for developing greater understanding and best practices around engaging youth and families in health research.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,057
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,134
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0570,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,002
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,708
Tête enseignante GPT0,590
Écart entre enseignants0,118 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations32
Publié2018
Routes d'admission2
Résumé présentoui

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